Abstract
The performance of the technical object is determined based on the evaluation of its parameters. Sensors of physical quantities are used to collect data on the values of the parameters of the controlled object. The performance evaluation of an object depends on the accuracy of the parameter measurement. The measurement accuracy is determined by the sensor conversion characteristic. If the sensor calibration tests are performed correctly, the conversion characteristic will accurately reflect the relationship between the measured parameter and the output electrical signal. A method for assessing the quality of the conversion characteristics of the microprocessor sensor, which is based on the use of Hurst index.The sensor of slowly changing physical quantities is considered. Based on the results of several test cycles obtained at a fixed ambient temperature, a series similar to the time series is formed. The initial series is subjected to additional processing before evaluation. The Hurst exponent is determined for the obtained series. The value of the Hurst index determines the quality of the test results. The possibility of using fractality index to assess the quality of tests is also considered.
Highlights
The performance assessment of a technical object is based on an analysis of a change in a parameter or a combination of its parameters [1, 2]
The use of the Hurst indicator is advisable in assessing the quality of testing sensors
The Hurst index for a series built on the basis of the results of several test cycles at a fixed ambient temperature should be in the range of (0.0 0.5)
Summary
The performance assessment of a technical object is based on an analysis of a change in a parameter or a combination of its parameters [1, 2]. An object fails when degradation exceeds the permissible level for a parameter change. Parameter measurements are performed by microprocessor sensors of physical quantities. They are important components of a distributed microcomputer system for collecting information about the parameters of a technical object. The high accuracy of measurements made using a microprocessor sensor, largely depends on the quality of its conversion characteristics. Any deviations from the methodology may lead to a decrease in the quality of the conversion characteristics This deteriorates the metrological characteristics of the sensor. The main danger is that these changes are difficult to capture
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